(1) … In the world of microservices architecture, JSON is often used for passing messages between services. However, it’s crucial to recognize that JSON messages require serialization and deserialization, processes that can introduce significant overhead. (2) JSON is text-based, relying heavily on string manipulation for operations like concatenation and parsing. String handling can be slower compared to working with binary data. (3) JSON’s human-readable design can result in verbosity. Redundant keys and repetitive structures increase payload size, causing longer data transfer times. (6) JSON lacks native support for binary data. (7) In some scenarios, JSON data can be deeply nested, requiring recursive parsing and traversal.